Abstract
Tourism and recreational activities may play an important role in the conservation and sustainable management of natural ecosystems and cultural heritage sites. Local, domestic and international visitors, however, often differ in their cultural preferences as well as in the spatial distribution of their visitation patterns. The investigation of such differences is usually achieved through surveys, which are time- and resource-intensive and often impractical at large scales. This study takes an alternative approach, analysing metadata of 8, 245 geotagged photographs of the Usumacinta floodplain, a 25, 000 km2 coastal region with one of the highest biological and cultural diversities in Mexico. The results provide insights on the spatial distribution of cultural ecosystem services and historical heritage tourism and recreation that are enjoyed by local, domestic and international visitors to the Usumacinta floodplain. Specifically, we find that culturally tagged photographs taken by international visitors tend to be concentrated in correspondence to famous archaeological sites such as the Mayan ruins of Palenque, while local and domestic visitors are more widespread within the floodplain. International visitors are 1.5 to 2.1 times more likely than, respectively, domestic and local visitors to take and upload photographs of historical cultural heritage sites, whereas local inhabitants are 2.2 and 2.5 times more likely than international visitors to be associated with photographs reflecting aesthetic appreciation, mental health and bird-watching. We conclude monitoring and analysis of social media activity may be useful to improve the understanding of spatial patterns and different cultural benefits accrued to various segments of the population of visitors to natural and cultural heritage sites.
Original language | American English |
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Title of host publication | Mainstreaming Natural Capital and Ecosystem Services into Development Policy |
Place of Publication | Abingdon, UK |
Pages | 104-120 |
Number of pages | 17 |
ISBN (Electronic) | 9781315531205 |
DOIs | |
State | Published - 1 Jan 2019 |
All Science Journal Classification (ASJC) codes
- General Economics,Econometrics and Finance
- General Business,Management and Accounting